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http://issues.apache.org/jira/browse/HADOOP-331?page=comments#action_12443113 ] 
            
Owen O'Malley commented on HADOOP-331:
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Number of records does impact memory usage precisely because of the 
KeyByteOffset. I've seen cases where there are very small records (int,int) 
that use the majority of memory in the objects and their overhead. Since it can 
become a dominant factor, it needs to be monitored.

I want to keep the Key objects so that performance doesn't suck if the user 
doesn't define raw comparators. Key objects are typically small and doing the 
base sort on them will be much faster if we keep them as objects.

> map outputs should be written to a single output file with an index
> -------------------------------------------------------------------
>
>                 Key: HADOOP-331
>                 URL: http://issues.apache.org/jira/browse/HADOOP-331
>             Project: Hadoop
>          Issue Type: Improvement
>          Components: mapred
>    Affects Versions: 0.3.2
>            Reporter: eric baldeschwieler
>         Assigned To: Devaraj Das
>
> The current strategy of writing a file per target map is consuming a lot of 
> unused buffer space (causing out of memory crashes) and puts a lot of burden 
> on the FS (many opens, inodes used, etc).  
> I propose that we write a single file containing all output and also write an 
> index file IDing which byte range in the file goes to each reduce.  This will 
> remove the issue of buffer waste, address scaling issues with number of open 
> files and generally set us up better for scaling.  It will also have 
> advantages with very small inputs, since the buffer cache will reduce the 
> number of seeks needed and the data serving node can open a single file and 
> just keep it open rather than needing to do directory and open ops on every 
> request.
> The only issue I see is that in cases where the task output is substantiallyu 
> larger than its input, we may need to spill multiple times.  In this case, we 
> can do a merge after all spills are complete (or during the final spill).

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